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Paper Citation Record · LEDGER

Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.15285.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.15285 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:16.406356Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T05:36:04.308097Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation dedac915-69a0-48f6-bc6e-56d304c4e080 · inbound

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion cites this paper.

An Eulerian approach to regularized JKO scheme with low-rank tensor decompositions for Bayesian inversion Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-12T17:39:16.406356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:39:16.406356Z digest=sha256:6aed9a8d270ccdaeec2de2ad8a2dfb488c34d31df88bc7e8b80e8f395f216a4d

Observation 1a641df4-0ecf-4982-ba3b-b19ab926e5ce · inbound

Sampling from Boltzmann densities with physics informed low-rank formats cites this paper.

Sampling from Boltzmann densities with physics informed low-rank formats Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-11T18:42:48.174924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T18:42:48.174924Z digest=sha256:643e9bf9600ed153ac6bebd3c7a3c11048dd2d7cc12d6f8d60f157b68ffe75ad

Observation abe9cbae-2c2d-47ad-8a10-5cbbf5281a91 · inbound

Generative optimal transport via forward-backward HJB matching cites this paper.

Generative optimal transport via forward-backward HJB matching Generative Modelling with Tensor Train approximations of Hamilton--Jacobi--Bellman equations

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:36:04.313076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T18:01:54.740246Z digest=sha256:1deaef1874a03ef5a69cbc10366273d25bab4fa3fcf0b7cb3644e678d4b7739e